Serious tools, priced for the people doing the work.
Khan Terminal exists because the gap between what professional research tooling can do and what most people can afford to use has never made much sense.
The information is public. The leverage isn't.
Almost everything you need to analyse a public company is free and sitting in the open. Filings, fundamentals, transcripts, ownership, all published, all available to anyone who asks.
And yet doing the work is miserable. The filing is a 200-page PDF. The fundamentals need extracting before they mean anything. The model gets rebuilt from a blank spreadsheet every single time. By the time you've assembled the picture, the thinking, the part that actually matters, gets whatever time is left.
The tools that solve this properly have always been built and priced for institutions, not for people. So the analyst at a large fund starts every question with an enormous head start, and everyone else starts with a browser full of tabs.
That gap is a tooling problem, not an intelligence problem. Tooling problems can be fixed.
One workspace, from ticker to committee pack.
Khan Terminal collapses the whole research workflow into a single place. Ask a question in plain English and get an answer built from the filing, with the passage attached. Build a valuation where every driver is visible. Argue the bear case. Stress the portfolio. Export something you could put in front of a committee.
The point isn't to think for you. It's to delete the two hours of assembly that stand between you and the part where you do.
What we optimise for.
The bottleneck in research was never thinking. It was assembly. Finding the filing, rebuilding the model, reformatting the deck. That work should take seconds.
Every AI answer carries the passage it came from. If you can't click through and check a number against the filing, the number isn't worth much.
Real DCFs with visible drivers. Bear cases argued, not skipped. Screens that show their working. Analysis you could defend in a committee.
The model drafts, retrieves and argues. It doesn't decide. Anyone selling you an AI that picks your positions is selling you something else.
The same tooling that helps a professional work faster helps a student learn how the work is actually done, which is why interview prep sits alongside the terminal.
Zain-Ud-Deen Khan
Founder, Khan Terminal
Zain is currently studying Accounting & Finance at Aston University, and has built his career at the intersection of financial markets, data science and technology.
He serves as Director of Research at Howden Research, where he leads a team of over 30 analysts producing research on global markets, macroeconomics and climate finance, work that has reached more than 100,000 readers and involved collaborations with leading academics and industry professionals.
Alongside that research he has contributed market analysis to the East London Times, helped manage a £1 million investment portfolio through the Aston Trading & Investment Society in partnership with the West Midlands Pension Fund, and completed programmes with organisations including Rothschild & Co and SEO London.
Before finance, he co-founded an education technology business that grew to £27,000 in revenue within six months, first-hand experience of building a product from nothing.
Khan Terminal is where those threads meet: AI, financial data, macroeconomic analysis and document intelligence in one research workspace, built to give investors the tools traditionally reserved for institutional professionals.
“The long-term mission is to build the world's most intelligent investment research platform, one that combines cutting-edge AI with rigorous financial analysis to democratise access to institutional-quality research.”
Built in the open, shaped by use.
Khan Terminal has grown in one direction: from answering questions about a company, to reading the documents behind them, to running the workflows around them. That arc continues: deeper document understanding, broader coverage, and more of the routine work handled before you ask.
We'd rather publish a roadmap we're actually going to build than a wishlist. If there's a piece of your workflow that still hurts, that's the most useful thing you can tell us.